Table of Contents

• Towards a whole body brain-machine interface system for decoding expressive movement intent Challenges and OpportunitiesJosé L. Contreras-Vidal, Jesus Cruz-Garcia, Anastasiya Kopteva. 1-4 [doi]
• Welcome message from the general chairsSeong-Whan Lee, Klaus-Robert Müller. 1 [doi]
• Towards sign language recognition using EEG-based motor imagery brain computer interfaceDuaa AlQattan, Francisco Sepulveda. 5-8 [doi]
• The effect of selective attention on multiple ASSRs for future BCI applicationNetiwit Kaongoen, Sungho Jo. 9-12 [doi]
• How incidental affect and emotion regulation modulate decision making under riskHauke R. Heekeren, Stefan Schulreich, Peter N. C. Mohr, Carmen Morawetz. 13-15 [doi]
• Pop or not? EEG correlates of risk-taking behavior in the balloon analogue risk taskYiyu Chen 0002, Christian Wallraven. 16-19 [doi]
• English ability score prediction algorithm based on prefrontal cortex blood volume utilizing a regulated linear regression modelKosho Oki, Yosuke Kurihara, Takashi Kaburagi, Kazuaki Shiba. 20-23 [doi]
• Multimodal integration, attention and sensory augmentation?Basil Wahn, Peter König. 24-26 [doi]
• Online implementation of top-down SSVEP-BMIMin-Hee Ahn, Byoung-Kyong Min. 27-29 [doi]
• A template-projection approach to decode higher-order vision in realtime and at the perceptual thresholdKai J. Miller, Dora Hermes. 30-35 [doi]
• Quo vadis P300 BCI?Andrea Kübler. 36-39 [doi]
• Shifting stimuli for brain computer interface based on rapid serial visual presentationDong-Ok Won, Han-Jeong Hwang, Klaus-Robert Müller, Seong-Whan Lee. 40-41 [doi]
• Practical brain-machine interface systemHong-Gi Yeom, June-Sic Kim, Chun Kee Chung. 42-43 [doi]
• Detecting and tracking multiple directional movements in EEG based BCICuntai Guan, Neethu Robinson, Vikram Shenoy Handiru, A. Prasad Vinod 0001. 44-45 [doi]
• An online self-paced brain-computer interface onset detection based on sound-production imagery applied to real-life scenariosYoungjae Song, Francisco Sepulveda. 46-49 [doi]
• Single-trial analysis of readiness potentials for lower limb exoskeleton controlJi-Hoon Jeong, Min-Ho Lee, No-Sang Kwak, Seong-Whan Lee. 50-52 [doi]
• From measurement to machine learning: Towards analysing cognitionK.-R. Muller. 53-54 [doi]
• Learning suite of kernel feature spaces enhances SMR-based EEG-BCI classificationBerdakh Abibullaev. 55-59 [doi]
• Bimanual Arm Movements Decoding using Hybrid MethodHoseok Choi, Dong Pyo Jang, Kyoung-Min Lee. 60-62 [doi]
• Towards non-invasive EEG-based arm/hand-control in users with spinal cord injuryGernot R. Müller-Putz, Patrick Ofner, Andreas Schwarz, Joana Pereira, Andreas Pinegger, Catarina Lopes Dias, Lea Hehenberger, Reinmar J. Kobler, Andreea Ioana Sburlea. 63-65 [doi]
• Brain computer interface approach using sensor covariance matrix with forced whiteningHyuk-soo Shin, Wonzoo Chung. 66-68 [doi]
• The neural analysis of "why service can improve product competitiveness"Meina Zhao, Lingdi Liu, Jing Wang, Gang Zhao. 69-72 [doi]
• Baseline drift detection index using wavelet transform analysis for fNIRS signalGihyoun Lee, Seung-Hyun Lee, Sang-Hyeon Jin, Jinung An. 73-76 [doi]
• A brain-computer interface speller using peripheral stimulus-based SSVEP and P300Ji-Young Hwang, Min-Ho Lee, Seong-Whan Lee. 77-78 [doi]
• Time domain EEG analysis for evaluating the effects of driver's mental work load during simulated drivingJong-Pil Kim, Seong-Whan Lee. 79-80 [doi]
• Conceptual analysis of epilepsy classification using probabilistic mixture modelsSunil Kumar Prabhakar, Harikumar Rajaguru. 81-84 [doi]
• Classification of computed tomography scanner manufacturer using support vector machineSeung-Bo Lee, Eun-Jin Jeong, Yunsik Son 0001, Dong-Joo Kim. 85-87 [doi]
• Classification of wakefulness and anesthetic sedation using combination feature of EEG and ECGBo-Ram Lee, Dong-Ok Won, Kwang-Suk Seo, Hyun-Jeong Kim, Seong-Whan Lee. 88-90 [doi]
• Advanced deep learning for blood vessel segmentation in retinal fundus imagesLua Ngo, Jae-Ho Han. 91-92 [doi]
• A SSVEP-BCI with random moving stimuli in simulation environmentNannan Zhang, Yadong Liu, Zongtan Zhou. 93-95 [doi]
• Movement classification using ECoG high-gamma powers from human sensorimotor area during active movementSeokyun Ryun, June-Sic Kim, Eunjeong Jeon, Chun Kee Chung. 96-98 [doi]
• Classification of midazolam-induced sedation depth based on spatial and spectral analysisHwi-Jae Kim, Seul-Ki Yeom, Kwang-Suk Seo, Hyun-Jeong Kim, Seong-Whan Lee. 99-102 [doi]
• An empirical study on effect of physiological asymmetry for affective stimuliByung Hyung Kim, Sungho Jo. 103-105 [doi]
• Classification of left and right foot movement intention based on steady-state somatosensory evoked potentialsYoung-Jin Kee, Dong-Ok Won, Seong-Whan Lee. 106-108 [doi]
• Timbre classification method based on the Common Spatial Pattern filterYongkoo Park, Wonzoo Chung. 109-111 [doi]
• Identification of Attention State for Menu-Selection using In-Ear EEG RecordingDonghwa Jeong, Jaeseung Jeong, Yongwook Chae, HyeonYoung Choi. 112-114 [doi]
• Design and evaluation of a P300-ERP based BCI system for real-time control of a mobile robotDamir Nurseitov, Abzal Serekov, Almas Shintemirov, Berdakh Abibullaev. 115-120 [doi]
• Representations of directions in EEG-BMI using winner-take-all readoutsHoon-Hee Kim, Jaeseung Jeong. 121-122 [doi]